86 citations · 305 across the 37 of their papers we have counts for
5 papers · 2 filters
Creating Causal Embeddings for Question Answering with Minimal Supervision
Rebecca Sharp, Mihai Surdeanu, Peter Jansen +2
A common model for question answering (QA) is that a good answer is one that is closely related to the question, where relatedness is often determined using general-purpose lexical…
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction
Marco A. Valenzuela-Escarcega, Gus Hahn-Powell, Dane Bell +1
We propose an approach for biomedical information extraction that marries the advantages of machine learning models, e.g., learning directly from data, with the benefits of rule-ba…
This before That: Causal Precedence in the Biomedical Domain
Gus Hahn-Powell, Dane Bell, Marco A. Valenzuela-Escárcega +1
Causal precedence between biochemical interactions is crucial in the biomedical domain, because it transforms collections of individual interactions, e.g., bindings and phosphoryla…
Towards using social media to identify individuals at risk for preventable chronic illness
Dane Bell, Daniel Fried, Luwen Huangfu +2
We describe a strategy for the acquisition of training data necessary to build a social-media-driven early detection system for individuals at risk for (preventable) type 2 diabete…
Sieve-based Coreference Resolution in the Biomedical Domain
Dane Bell, Gus Hahn-Powell, Marco A. Valenzuela-Escárcega +1
We describe challenges and advantages unique to coreference resolution in the biomedical domain, and a sieve-based architecture that leverages domain knowledge for both entity and…